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 BAO Yi,LOU Fengdan,WANG Wanliang.Multiobjective optimization control of intelligent household electricity with demand management[J].CAAI Transactions on Intelligent Systems,2018,13(01):125-130.[doi:10.11992/tis.201705030]





Multiobjective optimization control of intelligent household electricity with demand management
鲍毅1 楼凤丹2 王万良3
1. 杭州天丽科技有限公司, 浙江 杭州 310051;
2. 国网浙江省电力公司信息通信分公司, 浙江 杭州 310073;
3. 浙江工业大学 计算机科学与技术学院, 浙江 杭州 310023
BAO Yi1 LOU Fengdan2 WANG Wanliang3
1. Hangzhou TianLi Electronic Technology co., LTD, Hangzhou 310051, China;
2. State Network Zhejiang Electric Power Corporation Information Communications Branch, Hangzhou 3100073, China;
3. School of Computer Science and Technology, Zhejiang Univer
demand managementsmart gridmulti-objective decisionoptimal controldragonfly algorithmhousehold electricityintelligent controlload classification
In this paper, we propose a home electricity control system with a smart grid for managing the demand of home appliances and to ease the peak-time grid pressure. We designed an intelligent controller that can obtain user power information and provide users with time-sharing electricity metering, while also being convenient for suppliers to apply the demand management system. To reduce the load power and demand-response delay time, we propose a multi-objective optimization technique. Its convergence rate is rapid and it can satisfy the immediate response requirement. The results for 500 families taking part in the experiment show that the proposed household electricity control system is reasonable, reduces user electricity costs, and reduces the response time delay due to its fast calculation speed, thereby effectively alleviating the peak time of the power grid.


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更新日期/Last Update: 2018-02-01